Socioeconomic Data

Missing Data May Contribute to Health Disparities in Children with Lupus

May 4, 2023 - Researchers have found that missing data on socioeconomic, demographic, and clinical factors may negatively impact health equity for pediatric patients with childhood-onset systemic lupus erythematosus (cSLE).  The findings were described in a recent study published in Arthritis Care & Research, in which researchers sought to examine the...


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Socioeconomic Data Analysis Reveals Health Equity Barriers

by Shania Kennedy

Researchers from Utica University recently leveraged socioeconomic data to gain insights into generational poverty and other health equity barriers that impact patients’ ability to prioritize...

Using Data to Quantify a Key Pandemic SDOH: Social Isolation

by Anuja Vaidya

Loneliness and social isolation rose alarmingly during the COVID-19 pandemic as lockdowns proliferated and in-person gatherings were discouraged. A critical social determinant of health (SDOH), social isolation is estimated to have...

De-Identified Data to Improve Health Equity, Research 

by Erin McNemar, MPA

Truveta and LexisNexis Risk Solutions announced a strategic partnership that will use de-identified data to improve the quality of all health research and enable new insights on health...

Data Shows Population Health Disparities in Cancer Screenings 

by Erin McNemar, MPA

Data analytics from the University of Texas Health Science Center (UTHealth Houston) indicate a decline in cervical cancer screenings. According to researchers, screening rates are the lowest...

AI Detects Cancerous Lesions in Mammography Scans 

by Erin McNemar, MPA

Duke University researchers have created an artificial intelligence platform to analyze potentially cancerous lesions in mammography scans and determine whether patients should...

High-Quality Data Essential to Achieving Whole-Person Patient Care

by Erin McNemar, MPA

 During the second annual Payer and Provider Virtual Summit, experts emphasize the role of high-quality data to achieve whole-person care.  Whole person care is the concept that the best way to...

Data Analysis Indicates Preeclampsia Risk

by Erin McNemar, MPA

According to a data analysis of medical records for a racially diverse group of over 6,000 women, there is evidence that a combination of biological, social, and cultural factors are responsible for...

What Is the Role of Data Analytics in Population Health Management? 

by Erin McNemar, MPA

Population health management has become an important method for improving community health. As the population health management market continues to develop in the healthcare space, systems must gather data from multiple sources, apply...

Targeting COVID-19 Health Disparities With Data Analytics

by Erin McNemar, MPA

The COVID-19 pandemic has brought to light existing health disparities, especially among Black, Latinx, and other underrepresented populations. Using data analytics, Indiana’s Marion County...

Lung Cancer Screening Eligibility Highlights Health Disparities

by Erin McNemar, MPA

Despite revised guidelines for lung cancer screening eligibility, health disparities among racial and ethnic minorities are persisting, according to the Radiological Society of North America. In 2014,...

Using SDOH Data to Enhance Artificial Intelligence, Outcomes

by Erin McNemar, MPA

As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research. These social factors, which impact...

Finding Gaps in Hispanic Population Health Research

by Erin McNemar, MPA

A new study examines past and present research to determine changes in Hispanic population health findings over the years and necessary improvements still to be made. In demographic and health...

Data Analytics Resources Can Inform Population Health Efforts

by Jessica Kent

Over the past year, data analytics resources have become essential tools for organizations and policymakers seeking to enhance their population health efforts – even more so than before the...

Leveraging Data Visualization Tools to Promote Health Equity

by Jessica Kent

While health equity has been a top priority among leaders in the industry for several years, the equitable distribution of resources became even more critical during COVID-19. From testing to care...

Supporting Equitable Vaccine Distribution with EHR Data

by Jessica Kent

With the broadening availability of COVID-19 vaccines, it seems the US is finally beginning to see the light at the end of the pandemic-enveloped tunnel. After more than a year of uncertainty and...

Race, Socioeconomic Factors Contribute to Heart Failure Outcomes

by Jessica Kent

In a study of end-stage heart failure patients, researchers at the University of Alabama at Birmingham (UAB) found that race and socioeconomic factors may contribute to differences heart failure...

Big Data Framework Offers Mapping Method for Future Pandemics

by Jessica Kent

A big data framework combining epidemiological and socioeconomic risk factors revealed that COVID-19 risk increased in areas with more crowding, population mobility, and morbidity, while risk decreased...

City-Level Data Shows Stark Racial Disparities in Diabetes Deaths

by Jessica Kent

In all 30 of the largest cities in the US, there are significant racial disparities in diabetes mortality rates, according to a study of city-level data published in Diabetes Research and Clinical...

Collecting Big Data to Eliminate Rural Health Disparities

by Jessica Kent

Among the many gaps in care that pervade the medical industry, rural health disparities are some of the most prevalent. For individuals living in rural parts of the country, geographic isolation,...